# yunikorn-core **Repository Path**: mirrors_apache/yunikorn-core ## Basic Information - **Project Name**: yunikorn-core - **Description**: Apache YuniKorn Core - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-03-26 - **Last Updated**: 2025-08-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Apache YuniKorn - A Universal Scheduler [![Build Status](https://github.com/apache/yunikorn-core/actions/workflows/push-master.yml/badge.svg)](https://github.com/apache/yunikorn-core/actions) [![codecov](https://codecov.io/gh/apache/yunikorn-core/branch/master/graph/badge.svg)](https://codecov.io/gh/apache/yunikorn-core) [![Go Report Card](https://goreportcard.com/badge/github.com/apache/yunikorn-core)](https://goreportcard.com/report/github.com/apache/yunikorn-core) [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Repo Size](https://img.shields.io/github/repo-size/apache/yunikorn-core)](https://img.shields.io/github/repo-size/apache/yunikorn-core) Apache YuniKorn is a light-weight, universal resource scheduler for container orchestrator systems. It is created to achieve fine-grained resource sharing for various workloads efficiently on a large scale, multi-tenant, and cloud-native environment. YuniKorn brings a unified, cross-platform, scheduling experience for mixed workloads that consist of stateless batch workloads and stateful services. YuniKorn now supports K8s and can be deployed as a custom K8s scheduler. YuniKorn's architecture design also allows adding different shim layer and adopt to different ResourceManager implementation including Apache Hadoop YARN, or any other systems. ## Get Started See how to get started with running YuniKorn on Kubernetes, please read the documentation on [yunikorn.apache.org](http://yunikorn.apache.org/docs/). Want to know more about the value of the YuniKorn project, and what YuniKorn can do? Here are some [session recordings and demos](https://yunikorn.apache.org/community/events#past-conference--meetup-recordings). ## Get Involved Please read [get involved](http://yunikorn.apache.org/community/get_involved) document if you want to discuss issues, contribute your ideas, explore use cases, or participate the development. If you want to contribute code to this repo, please read the [developer doc](http://yunikorn.apache.org/docs/next/developer_guide/build). All the design docs are available [here](http://yunikorn.apache.org/docs/next/design/architecture). ## Code Structure Apache YuniKorn project has the following git repositories: - [yunikorn-core](https://github.com/apache/yunikorn-core/) : the scheduler brain :round_pushpin: - [yunikorn-k8shim](https://github.com/apache/yunikorn-k8shim) : the adaptor to Kubernetes - [yunikorn-scheduler-interface](https://github.com/apache/yunikorn-scheduler-interface) : the common scheduling interface - [yunikorn-web](https://github.com/apache/yunikorn-web) : the web UI - [yunikorn-release](https://github.com/apache/yunikorn-release/): the repo manages yunikorn releases, including the helm charts - [yunikorn-site](https://github.com/apache/yunikorn-site/): the source code for [yunikorn website](http://yunikorn.apache.org/) The `yunikorn-core` is the brain of the scheduler, which makes placement decisions (allocate container X on node Y) according to the builtin rich scheduling policies. Scheduler core implementation is agnostic to the underneath resource manager system.